101 to 125 of 2,906 Python Jobs in London

work both independently and collaboratively within client teams. Desirable: Consulting experience or client-facing delivery background. Familiarity with tools such as dbt, Fivetran, Matillion , or similar. Programming skills in Python, Java, or Scala . Cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP). Knowledge of DataOps, CI/CD , and infrastructure-as-code concepts. What’s on Offer More ❯

Agile methodologies Preferred Skills Knowledge of Front Office FX business and products (spot, forwards, options). Familiarity with data visualization tools (Altair Panopticon, Power BI, Tableau). Experience with Python and analytical libraries such as Pandas and NumPy. Clear communication, analytical mindset, and problem-solving ability. Education & Experience Master’s degree (or equivalent) in Computer Science , Mathematics , Physics , or Engineering More ❯

mindset in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges. We would love to hear from you if you: Have strong Python and Machine Learning Engineering skills, with experience using and applying AI to solve customer problems Can (or want to learn to) develop agentic AI systems that can automate human processes More ❯

Professional knowledge and experience Essential Extensive experience in software engineering, with a focus on large-scale, complex systems. Polyglot engineer comfortable working across multiple languages and frameworks (weve used Python, Java, Kotlin, Node.js, C#, JavaScript, Express, React and Next.js to name a few). Passion for learning new technologies and helping others do the same. Proven track record of leading More ❯

mindset in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges. We would love to hear from you if you: Have strong Python and Machine Learning Engineering skills, with experience using and applying AI to solve customer problems Can (or want to learn to) develop agentic AI systems that can automate human processes More ❯

mindset in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges. We would love to hear from you if you: Have strong Python and Machine Learning Engineering skills, with experience using and applying AI to solve customer problems Can (or want to learn to) develop agentic AI systems that can automate human processes More ❯

mindset in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges. We would love to hear from you if you: Have strong Python and Machine Learning Engineering skills, with experience using and applying AI to solve customer problems Can (or want to learn to) develop agentic AI systems that can automate human processes More ❯

years of experience in cloud computing technologies or related technical fields 3-5 years of hands-on backend development experience using one or more programming languages such as Python, Rust and Golang Solid experience with core cloud services (such as EC2, S3, and VPC on AWS and GCP equivalent) and software development tools such as Git, Terraform, GitLab, Jira, etc. More ❯

experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience designing with scalable and highly available distributed systems in the cloud More ❯

efficient solutions Passion for researching and implementing new technologies Experience with mentoring/knowledge-sharing Proven experience in coding with a programming/scripting language (e.g. Java, Golang , Javascript , Python, Bash) Proven experience in IAC frameworks (e.g. Terraform , Ansible , Pulumi ) Proven experience in using LINUX/UNIX Proven experience in using the GitOps approach and related tools (e.g. ArgoCD , FluxCD More ❯

team. About you The role requires a blend of technical depth and product sense, including Bachelor's or Master's degree in Computer Science, Engineering, or related field. Strong Python engineering skills (FastAPI, testing, typing) and experience with cloud-native development (GCP preferred). Hands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud More ❯

Clearence Candidates Job Description: Essential Skills & Experience:  10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks.  Strong proficiency in Python and Spark (PySpark) or Scala.  Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns.  Extensive experience with Azure data services, including Azure Data Factory, Azure Blob More ❯

Job title: Senior Python Backend Engineer Will the role be 100% remote, hybrid or 100% office? Onsite Location: London, UK Duration of assignment: 6 months contract InsideIR35 The Role: As a Senior Python Backend Engineer specializing in GenAI Solutions, you will play a critical role in designing, developing, and optimizing advanced cloud-based applications that leverage generative AI capabilities. This … design. Technical Skills: Strong software engineering background, including developing applications, RESTful APIs, and integrating front-end technologies (if applicable to the role). Proficiency in modern programming languages (e.g., Python). Experience with designing, building, and optimizing scalable, secure, and cost-effective cloud-native applications. Understanding machine learning lifecycle, MLOps principles, and responsible AI/ML practices from an application More ❯

data quality checks , monitoring, and alerting systems. Work closely with DevOps and infrastructure teams to deploy solutions in cloud and on-prem environments. Required Skills & Experience Strong proficiency in Python , including libraries such as Pandas, NumPy, and PySpark. Experience with data engineering tools (e.g., Airflow, Kafka, SQL, Parquet). Solid understanding of commodities markets , trading workflows, and financial instruments. Familiarity More ❯

/CD pipelines, and observability tools. What They're Looking For: Hands-on experience with a major cloud provider (preferably GCP), Kubernetes, and Infrastructure as Code (Terraform). Strong Python skills for automation and operational problem-solving. Customer-focused approach to building stable, well-documented platforms. Pragmatic focus on efficiency, velocity, and leveraging AI tools for problem-solving. More ❯

application support and/or a DevOps background is a plus. Stack: Atlassian Suite (Jira, Confluence, Crowd, Bitbucket) Jenkins Cl Linux AWS Git/Github/Gitlab Bash and Python SQL/NO-SQL DB's Nginx More ❯

and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise in CI/CD tools : Google Cloud Build, Jenkins, GitHub Actions. Proven experience with Terraform and More ❯

Experience working collaboratively with cross-functional teams in an Agile environment. Desirable: Exposure to cloud platforms such as Azure, AWS, or GCP . Experience with Microsoft Reporting Services or Python . Familiarity with SharePoint development and insurance/financial data models . More ❯

background in Infrastructure as Code (Terraform or Ansible) Experience building and maintaining CI/CD pipelines (Jenkins, GitLab CI, CircleCI) Knowledge of containerisation with Docker and Kubernetes Scripting in Python, Bash, or Go Monitoring and observability using Prometheus, Splunk, or similar Familiarity with Kafka, Akamai or Fastly, and databases like MySQL or MongoDB Excellent problem-solving and communication skills Comfortable More ❯

premises. Experience testing APIs, services, and integration points , not just front-end UI. Strong analytical mindset and attention to detail — you spot issues others miss. Bonus: experience with scripting (Python, Bash, PowerShell) or IaC validation (Terraform, Ansible). What We Offer Competitive salary of £45,000 Hybrid working model – flexibility to split time between home and our London office Supportive More ❯

Qualifications Experience 6+ years of DevOps/SRE experience in cloud environments (AWS, Azure, or GCP). Expertise in Kubernetes, Docker, Helm, and microservices architectures. Strong scripting skills in Python, Bash, or Typescript. Proven track record of automating build, test, and deployment workflows. Clear communicator with a security first mindset. Join a purpose-driven startup focused on improving patient outcomes. More ❯

and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise in CI/CD tools : Google Cloud Build, Jenkins, GitHub Actions. Proven experience with Terraform and More ❯

controls Requirements 3–5 years’ experience in machine learning engineering and/or applied data science Master’s or PhD in a numerate discipline (Computer Science, Mathematics, etc.) Strong Python coding skills for production systems Proven experience deploying models in real-world environments (API, batch, streaming) Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes) Experience working in cloud More ❯

controls Requirements 3–5 years’ experience in machine learning engineering and/or applied data science Master’s or PhD in a numerate discipline (Computer Science, Mathematics, etc.) Strong Python coding skills for production systems Proven experience deploying models in real-world environments (API, batch, streaming) Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes) Experience working in cloud More ❯

and risk controls Requirements 35 years experience in machine learning engineering and/or applied data science Masters or PhD in a numerate discipline (Computer Science, Mathematics, etc.) Strong Python coding skills for production systems Proven experience deploying models in real-world environments (API, batch, streaming) Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes) Experience working in cloud More ❯